Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computer-implemented method comprising: detecting, by a computing system, a trigger event for generating a multimedia content item designed to reflect an event associated with a user account, wherein the multimedia content item includes video content; identifying, by the computing system, a set of content items associated with the user account; acquiring, by the computing system, the set of content items and information associated with the set of content items or the user account; determining, by the computing system, relevance of each content item of the set of the content items relative to the user account based on the information; ranking, by the computing system, the relevance of the set of content items based on a ranking algorithm, wherein the ranking algorithm increases rankings for at least some content items determined by an image classification process to contain one or more faces; and wherein the ranking algorithm ranks the set of content items containing one or more faces based on affinity coefficients between the user account and one or more persons identified by a facial recognition technique from the one or more faces; selecting, by the computing system, a subset of content items out of the set of content items, wherein each content item in the subset satisfies one or more ranking thresholds; and generating, by the computing system, the multimedia content item based on the subset of content items, wherein generating the multimedia content item comprises: converting non-visual content items in the subset of content items into image representations of the non-visual content items, wherein the non-visual content items include at least one of a text, a post, a status update, or an audio item; and placing the image representations of the non-visual content items into the video content.
This invention relates to automated generation of personalized multimedia content, such as videos, based on user account data. The system detects a trigger event (e.g., a milestone or anniversary) and identifies a set of content items associated with the user account, including images, text, posts, status updates, and audio. The system acquires these items along with metadata and account information to determine their relevance to the user. A ranking algorithm prioritizes content, particularly favoring items containing faces detected via image classification. Faces are further ranked based on affinity coefficients derived from facial recognition, which measures the relationship between the user and identified individuals. The system selects a subset of high-ranking content and generates a multimedia item, converting non-visual content (e.g., text or audio) into visual representations (e.g., images or animations) and incorporating them into a video. This approach ensures the generated content is personalized, visually engaging, and contextually relevant to the user's relationships and activities.
2. The computer-implemented method of claim 1 , further comprising: providing the user account with access to the multimedia content item, wherein the generating the multimedia content item includes pre-rendering the multimedia content item prior to the providing the user account with the access to the multimedia content item.
The invention relates to a computer-implemented system for generating and delivering multimedia content items to user accounts in a pre-rendered format. The system addresses the technical challenge of efficiently providing personalized multimedia content by pre-processing and storing the content before granting user access. The method involves generating a multimedia content item through automated processes, such as AI-driven rendering or template-based assembly, and then pre-rendering it into a finalized format. This pre-rendered content is stored in a database or content delivery network before being made available to the user account. The system ensures that when a user requests access, the content is immediately retrievable without additional processing delays, improving performance and user experience. The pre-rendering step occurs prior to the user gaining access, meaning the content is fully prepared and ready for delivery at the time of request. This approach is particularly useful in applications requiring real-time or near-real-time content delivery, such as personalized video generation, dynamic advertising, or automated media production, where latency in content generation would otherwise degrade performance. The system may integrate with user account management features to control access permissions and ensure content is only provided to authorized accounts.
3. The computer-implemented method of claim 1 , wherein the generating the multimedia content item includes processing the subset of content items by one or more servers of a social networking system, and wherein an amount of the processing is based on a level of user traffic experienced by the social networking system.
This invention relates to dynamically generating multimedia content within a social networking system based on real-time user traffic conditions. The method involves selecting a subset of content items from a larger set, where the selection is based on predefined criteria such as relevance, user preferences, or engagement metrics. The selected content items are then processed by one or more servers within the social networking system to create a multimedia content item, such as a video, image, or interactive post. The processing workload is dynamically adjusted according to the current level of user traffic on the system. During periods of high traffic, the system may reduce the complexity or extent of processing to maintain performance, while during low-traffic periods, it may allocate more resources to enhance content quality. The method ensures efficient resource utilization while adapting to varying demand, optimizing both user experience and system stability. The invention addresses the challenge of balancing content generation quality with system performance in real-time, particularly in large-scale social networking environments where user activity fluctuates significantly.
4. The computer-implemented method of claim 1 , further comprising: modifying, based on one or more commands associated with the user account, the subset of content items to produce a modified set of content items; generating, in real-time, a modified multimedia content item based on the modified set of content items; and providing, in real-time, the modified multimedia content item generated based on the modified set of content items.
This invention relates to dynamic multimedia content generation and modification based on user commands. The technology addresses the challenge of creating personalized multimedia content in real-time by allowing users to adjust and refine content selections dynamically. The method involves selecting a subset of content items from a larger collection based on user account data, such as preferences or historical interactions. Users can then issue commands to modify this subset, which may include adding, removing, or altering content items. The system processes these modifications in real-time to generate an updated multimedia content item, such as a video, audio, or interactive presentation, incorporating the revised subset. The modified content is then provided to the user immediately, ensuring seamless and personalized content delivery. This approach enhances user engagement by enabling on-the-fly customization of multimedia content without requiring manual re-editing or delays. The system leverages user account data to tailor content selections and dynamically adjusts outputs based on user input, improving efficiency and personalization in content generation.
5. The computer-implemented method of claim 4 , wherein the generating, in real-time, the modified multimedia content item based on the modified set of content items includes transmitting at least one instruction to a computing device associated with the user account, wherein the modified multimedia content item is renderable in real-time using HTML5 by the computing device.
This invention relates to real-time multimedia content generation and rendering, specifically addressing the challenge of dynamically modifying and displaying multimedia content based on user preferences or contextual data. The method involves generating a modified multimedia content item by adjusting a set of content items, such as images, videos, or text, in response to user interactions or other real-time inputs. The modified content is then transmitted to a computing device associated with a user account, where it is rendered in real-time using HTML5. This ensures seamless, interactive updates without requiring manual refreshes or additional plugins. The system may also include steps for analyzing user behavior, selecting relevant content items, and applying transformations like cropping, resizing, or overlaying elements to create the modified multimedia output. The real-time rendering capability leverages HTML5's native support for multimedia, enabling smooth playback and interaction across different devices and platforms. This approach enhances user engagement by providing personalized, dynamically updated content in a web-based environment.
6. The computer-implemented method of claim 1 , wherein each content item in the subset of content items is at least one of a post, a status update, or an image, and wherein the multimedia content item includes video.
This invention relates to a computer-implemented method for processing and displaying multimedia content in a social media or digital communication platform. The method addresses the challenge of efficiently managing and presenting diverse content types, such as posts, status updates, images, and videos, to users in a structured and engaging manner. The method involves selecting a subset of content items from a larger set, where each content item in the subset can be a post, status update, image, or a combination thereof. The method further includes generating a multimedia content item that incorporates video, which may be derived from or associated with the selected subset. The multimedia content item is then displayed to a user, enhancing the user experience by providing a dynamic and visually appealing presentation of the content. The method may also involve analyzing user interactions, preferences, or contextual data to determine the most relevant or engaging content items for inclusion in the subset. Additionally, the method may dynamically adjust the composition or presentation of the multimedia content item based on real-time feedback or user behavior. This approach ensures that the displayed content remains relevant and engaging, improving user retention and satisfaction. The method may be implemented in various digital platforms, including social media networks, messaging apps, or content-sharing services.
7. The computer-implemented method of claim 1 , wherein the generating the multimedia content item includes providing audio content, the audio content being selected based on one or more commands provided via the user account.
This invention relates to generating multimedia content items with customizable audio content. The problem addressed is the lack of flexibility in automatically generating multimedia content where the audio component is dynamically selected based on user preferences or commands. The method involves creating a multimedia content item, such as a video or presentation, where the audio content is chosen from a library or generated based on user-specific inputs. The user provides commands through their account, which dictate the selection of audio tracks, sound effects, or voiceovers. These commands may include preferences for genre, mood, language, or specific audio files. The system processes these commands to curate or synthesize the appropriate audio content, ensuring it aligns with the user's requirements. This allows for personalized multimedia creation without manual audio selection, improving efficiency and customization. The invention enhances user experience by enabling dynamic audio integration tailored to individual needs.
8. The computer-implemented method of claim 7 , further comprising: analyzing the audio content to determine one or more beats of the audio content; and synchronizing, within an allowable time deviation, at least a portion of the multimedia content item with the one or more beats of the audio content.
This invention relates to synchronizing multimedia content with audio content, particularly in the context of digital media processing. The problem addressed is the need to align visual or multimedia elements with the rhythmic beats of an audio track to enhance synchronization and user experience. The method involves analyzing audio content to detect and determine the timing of one or more beats within the audio. Once the beats are identified, the method synchronizes at least a portion of the multimedia content item with these beats, ensuring alignment within a specified allowable time deviation. This synchronization process ensures that visual elements, such as video frames, animations, or other multimedia components, are precisely timed with the audio beats, improving the overall coherence and impact of the combined media. The technique may be applied in various applications, including music videos, presentations, and interactive media, where precise timing between audio and visual elements is critical. The method enhances user engagement by creating a more immersive and synchronized multimedia experience.
9. The computer-implemented method of claim 1 , wherein the trigger event is associated with at least one of a significant event associated with the user account within a social networking system, a user command initiated via the user account, or a system command of the social networking system.
This invention relates to a computer-implemented method for triggering actions within a social networking system based on specific events. The method addresses the challenge of efficiently responding to user or system activities in real-time, ensuring timely and relevant interactions. The system monitors user accounts and detects trigger events, which can include significant events tied to the user account (e.g., account creation, milestone achievements, or activity spikes), user-initiated commands (e.g., direct requests or interactions), or system-generated commands (e.g., automated notifications or updates). Upon detecting such an event, the system processes the trigger to execute a predefined action, such as sending a notification, updating account settings, or modifying content visibility. The method ensures that responses are contextually appropriate and aligned with user expectations, enhancing engagement and system efficiency. The approach leverages event-driven architecture to streamline operations, reducing latency and improving responsiveness in social networking environments.
10. The computer-implemented method of claim 9 , wherein the trigger event is associated with the significant event associated with the user account, and wherein the detecting of the trigger event includes analyzing at least one of a post associated with the user account, a status update associated with the user account, a comment associated with the user account, a tag associated with the user account, or an interaction associated with the user account.
This invention relates to a computer-implemented method for detecting and responding to significant events associated with a user account on a social media or digital platform. The method addresses the challenge of identifying meaningful user activities that may require automated actions, such as notifications, alerts, or other system responses. The method involves monitoring a user account for a trigger event, which is defined as a significant event linked to the account. The detection process includes analyzing various forms of user-generated content and interactions, such as posts, status updates, comments, tags, or other interactions associated with the account. By examining these elements, the system can determine whether a trigger event has occurred, which may indicate a notable change in user activity or status. Once a trigger event is detected, the system can execute predefined actions, such as sending notifications, updating account settings, or triggering other automated processes. The method ensures that the system responds dynamically to user behavior, enhancing user engagement and platform functionality. This approach improves the ability to track and react to meaningful user activities in real-time, providing a more responsive and personalized experience.
11. The computer-implemented method of claim 1 , wherein the selecting the subset of content items out of the set of content items includes ranking the set of content items based on a ranking algorithm, wherein the specified selection criteria include one or more ranking thresholds, and wherein each content item in the subset of content items satisfies the one or more ranking thresholds.
This invention relates to content selection systems, specifically methods for filtering and ranking content items based on predefined criteria. The problem addressed is the efficient and accurate selection of relevant content from a larger set, ensuring that only the most suitable items are presented to users or further processed. The method involves selecting a subset of content items from a larger set by applying a ranking algorithm to evaluate each item. The ranking algorithm assigns scores or priorities to content items based on factors such as relevance, quality, or user preferences. The selection process then applies specified selection criteria, which include one or more ranking thresholds. Only content items that meet or exceed these thresholds are included in the final subset. This ensures that the selected content meets predefined standards of quality or relevance. The ranking algorithm may consider various factors, such as user engagement metrics, content freshness, or alignment with user interests. The thresholds can be adjusted to control the strictness of the selection process, allowing for flexibility in balancing precision and recall. This approach is useful in applications like personalized content recommendations, search result filtering, or automated content curation, where efficiency and relevance are critical. The method ensures that only the most relevant or high-quality content is selected, improving user experience and system performance.
12. The computer-implemented method of claim 11 , wherein the ranking algorithm decreases rankings for at least some content items determined by the image classification process to include at least one of memes or food.
This invention relates to a computer-implemented method for ranking content items in a digital platform, particularly addressing the challenge of filtering or deprioritizing certain types of content, such as memes or food-related images, to improve user engagement or relevance. The method involves an image classification process that analyzes content items to identify specific categories, including memes or food. Once classified, a ranking algorithm adjusts the rankings of these content items, typically by decreasing their prominence in search results, recommendations, or feeds. The ranking algorithm may apply different weighting factors or penalties based on the detected content type, ensuring that memes or food-related items are less likely to appear prominently. The method may also incorporate user preferences or historical data to refine the ranking adjustments. This approach helps platforms curate content more effectively, reducing the visibility of low-value or distracting content while prioritizing more relevant or engaging material. The invention is particularly useful in social media, news aggregation, or e-commerce platforms where content diversity and user experience are critical.
13. The computer-implemented method of claim 11 , wherein the ranking algorithm is based on social interaction analysis.
This invention relates to a computer-implemented method for ranking content or items using social interaction analysis. The method addresses the challenge of determining the relevance or importance of content in online platforms by leveraging user interactions such as likes, shares, comments, and other social signals. The ranking algorithm evaluates these interactions to assess the popularity, engagement, or influence of content, improving the accuracy of recommendations or search results. The method involves collecting social interaction data from users, such as their actions on content (e.g., liking, sharing, or commenting). This data is analyzed to identify patterns, trends, or relationships that indicate the significance of the content. The algorithm may also consider the credibility or influence of the users generating these interactions, weighting their contributions accordingly. For example, interactions from highly influential users may carry more weight in the ranking process. Additionally, the method may incorporate temporal factors, such as the recency of interactions, to ensure that the ranking reflects current trends rather than outdated data. The algorithm may also account for contextual factors, such as the relevance of interactions to specific topics or user preferences, to refine the ranking further. The output is a ranked list of content or items, which can be used to prioritize recommendations, search results, or other user-facing displays. This approach enhances the personalization and accuracy of content ranking by incorporating social dynamics, making it particularly useful for social media platforms, recommendation systems, and search engines.
14. The computer-implemented method of claim 13 , wherein the ranking algorithm increases rankings for at least some content items determined by the social interaction analysis to be associated with a current relationship associated with the user account and decreases rankings for at least some content items determined by the social interaction analysis to be associated with a terminated relationship associated with the user account.
This invention relates to ranking content items in a social media or digital platform based on the user's relationship status with other users. The problem addressed is the need to dynamically adjust content rankings to reflect the user's current social connections, ensuring that content from active relationships is prioritized while content from terminated relationships is deprioritized. The method involves analyzing social interactions between the user and other users to determine the nature of their relationships. Relationships are categorized as either current or terminated based on interaction patterns, such as frequency, recency, and engagement. A ranking algorithm then adjusts the visibility of content items in the user's feed or recommendations. Content associated with current relationships receives higher rankings, increasing its prominence, while content linked to terminated relationships receives lower rankings, reducing its visibility. The system may also consider additional factors, such as the type of relationship (e.g., family, friend, colleague) and the context of the content (e.g., shared posts, comments, messages). The goal is to personalize the user experience by aligning content rankings with the user's evolving social dynamics, ensuring relevance and reducing exposure to outdated or unwanted interactions. This approach enhances user engagement by prioritizing meaningful connections while minimizing distractions from inactive or terminated relationships.
15. The computer-implemented method of claim 1 , wherein at least a first content item in the subset of content items is associated with a first time period and wherein at least a second content item in the subset of content items is associated with a second time period.
This invention relates to a computer-implemented method for organizing and presenting content items, particularly in a digital environment where content is associated with different time periods. The method addresses the challenge of efficiently managing and displaying content that spans multiple timeframes, ensuring users can access relevant information without confusion or redundancy. The method involves selecting a subset of content items from a larger collection, where each content item is linked to a specific time period. At least one content item in the subset is associated with a first time period, while another content item in the subset is associated with a second time period. This differentiation allows the system to categorize and present content based on temporal relevance, improving user experience by providing contextually appropriate information. The method may further include steps such as filtering, sorting, or prioritizing content items based on their associated time periods, ensuring that users receive the most relevant content for their current needs. By dynamically adjusting the presentation of content based on time, the system enhances accessibility and reduces information overload. This approach is particularly useful in applications like news aggregation, historical data retrieval, or time-sensitive notifications, where temporal context is critical. The invention improves upon existing systems by providing a more structured and intuitive way to handle time-based content organization.
16. The computer-implemented method of claim 1 , wherein at least a first content item in the subset of content items is associated with a first location and wherein at least a second content item in the subset of content items is associated with a second location.
This invention relates to a computer-implemented method for managing content items based on their geographic locations. The method addresses the challenge of organizing and retrieving content items that are geographically distributed, ensuring efficient access and relevance based on location data. The method involves selecting a subset of content items from a larger collection, where each content item in the subset is linked to a specific geographic location. At least one content item in the subset is associated with a first location, while another content item is associated with a second location. The method may further include processing these content items to determine their relevance, relevance scores, or other metrics based on their geographic associations. This allows for filtering, ranking, or displaying content items in a way that reflects their spatial relationships, improving user experience and search accuracy. The method may also involve comparing the locations of content items to identify patterns, clusters, or proximity-based relationships. This can be used for applications such as location-based recommendations, geographic data analysis, or personalized content delivery. The system dynamically adjusts content presentation based on user location or preferences, ensuring that the most relevant content is prioritized. The method enhances the efficiency of location-aware content management systems by leveraging geographic metadata to improve organization and retrieval.
17. The computer-implemented method of claim 1 , wherein the user account is associated with at least one of a user of a social networking system, an entity associated with the social networking system, a group associated with the social networking system, a post on the social networking system, an application provided via the social networking system, or an event created through the social networking system.
Social networking systems enable users to interact, share content, and engage with various entities, groups, posts, applications, and events. However, managing and organizing these interactions efficiently remains a challenge, particularly when users need to access or modify multiple associated accounts or resources. This invention addresses the need for a streamlined approach to handle user accounts linked to diverse social networking elements. The method involves associating a user account with at least one of several social networking components: a user profile, an entity (such as a business page), a group, a post, an application, or an event. By linking the user account to these elements, the system allows centralized management, improved access control, and enhanced user experience. For example, a user may manage permissions, settings, or interactions across multiple posts or groups from a single account. This association also enables personalized content delivery, targeted advertising, and better engagement tracking. The method ensures seamless integration between the user account and the associated social networking features, reducing redundancy and improving efficiency.
18. A system comprising: at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the system to perform: detecting a trigger event for generating a multimedia content item designed to reflect an event associated with a user account, wherein the multimedia content item includes video content; identifying a set of content items associated with the user account; acquiring the set of content items and information associated with of the set of content items or the user account; determining relevance of each content item of the set of the content items relative to the user or user account based on the information; ranking the relevance of the set of content items based on a ranking algorithm, wherein the ranking algorithm increases rankings for at least some content items determined by an image classification process to contain one or more faces; and wherein the ranking algorithm ranks the set of content items containing one or more faces based on affinity coefficients between the user account and one or more persons identified by a facial recognition technique from the one or more faces; selecting a subset of content items out of the set of content items, wherein each content item in the subset satisfies one or more ranking thresholds; and generating the multimedia content item based on the subset of content items, wherein generating the multimedia content item comprises: converting non-visual content items in the subset of content items into image representations of the non-visual content items, wherein the non-visual content items include at least one of a text, a post, a status update, or an audio item; and placing the image representations of the non-visual content items into the video content.
This system automates the creation of personalized multimedia content, such as videos, by analyzing and selecting relevant content from a user's digital footprint. The technology addresses the challenge of manually curating and compiling meaningful multimedia content, particularly for events tied to a user account. The system detects a trigger event, such as an anniversary or milestone, and identifies a set of content items linked to the user account, including photos, videos, text posts, status updates, and audio recordings. It then acquires these items along with associated metadata or user account data to assess their relevance. A ranking algorithm prioritizes content, with higher rankings assigned to items containing faces detected through image classification. Faces are further analyzed using facial recognition to determine affinity coefficients, which measure the relationship between the user and identified individuals, influencing the ranking. The system selects a subset of content meeting predefined ranking thresholds. Non-visual content, like text or audio, is converted into visual representations (e.g., text overlays or visualizations) and integrated into the video. The result is a dynamically generated multimedia item that reflects the user's experiences and connections.
19. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform: detecting a trigger event for generating a multimedia content item designed to reflect an event associated with a user account, wherein the multimedia content item includes video content; identifying a set of content items associated with the user account; acquiring the set of content items and information associated with of the set of content items or the user account; determining relevance of each content item of the set of the content items relative to the user or user account based on the information; ranking the relevance of the set of content items based on a ranking algorithm, wherein the ranking algorithm increases rankings for at least some content items determined by an image classification process to contain one or more faces; and wherein the ranking algorithm ranks the set of content items containing one or more faces based on affinity coefficients between the user account and one or more persons identified by a facial recognition technique from the one or more faces; selecting a subset of content items out of the set of content items, wherein each content item in the subset satisfies one or more ranking thresholds; and generating the multimedia content item based on the subset of content items, wherein generating the multimedia content item comprises: converting non-visual content items in the subset of content items into image representations of the non-visual content items, wherein the non-visual content items include at least one of a text, a post, a status update, or an audio item; and placing the image representations of the non-visual content items into the video content.
This invention relates to automated generation of multimedia content, such as videos, that reflect events associated with a user account. The system detects a trigger event, such as a milestone or significant occasion, and generates a personalized multimedia item by analyzing and selecting relevant content from the user's account. The process involves identifying a set of content items linked to the user, including images, videos, text posts, status updates, and audio items. The system acquires these items along with associated metadata or user account information to assess their relevance. A ranking algorithm prioritizes content, with higher rankings given to items containing faces detected through image classification. Facial recognition techniques further refine rankings by evaluating affinity coefficients between the user and identified individuals in the images. The system selects a subset of content meeting predefined ranking thresholds and generates the multimedia item by converting non-visual content (e.g., text, audio) into visual representations, which are integrated into the final video. This approach ensures the generated content is personalized, visually engaging, and contextually relevant to the user's experiences.
Unknown
May 12, 2020
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